A support vector machine (SVM) approach to imbalanced datasets of customer responses: comparison with other customer response models
Author
Abstract
Suggested Citation
DOI: 10.1007/s11628-012-0147-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Verhoef, Peter C. & Venkatesan, Rajkumar & McAlister, Leigh & Malthouse, Edward C. & Krafft, Manfred & Ganesan, Shankar, 2010. "CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 121-137.
- ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(5), pages 687-698, October.
- David L. Olson & Dursun Delen, 2008. "Advanced Data Mining Techniques," Springer Books, Springer, number 978-3-540-76917-0, September.
- McCarty, John A. & Hastak, Manoj, 2007. "Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression," Journal of Business Research, Elsevier, vol. 60(6), pages 656-662, June.
- David L. Olson, 2007. "Data mining in business services," Service Business, Springer;Pan-Pacific Business Association, vol. 1(3), pages 181-193, September.
- Verhaert, Griet A. & Van den Poel, Dirk, 2011.
"Empathy as added value in predicting donation behavior,"
Journal of Business Research, Elsevier, vol. 64(12), pages 1288-1295.
- G. A. Verhaert & D. Van Den Poel, 2010. "Empathy as Added Value in Predicting Donation Behavior," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/692, Ghent University, Faculty of Economics and Business Administration.
- ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(3), pages 381-386, June.
- David Olson & Qing Cao & Ching Gu & Donhee Lee, 2009. "Comparison of customer response models," Service Business, Springer;Pan-Pacific Business Association, vol. 3(2), pages 117-130, June.
- Baesens, Bart & Viaene, Stijn & Van den Poel, Dirk & Vanthienen, Jan & Dedene, Guido, 2002. "Bayesian neural network learning for repeat purchase modelling in direct marketing," European Journal of Operational Research, Elsevier, vol. 138(1), pages 191-211, April.
- ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(4), pages 525-537, August.
- Lessmann, Stefan & Voß, Stefan, 2009. "A reference model for customer-centric data mining with support vector machines," European Journal of Operational Research, Elsevier, vol. 199(2), pages 520-530, December.
- ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(2), pages 285-292, April.
- Dapeng Cui & David Curry, 2005. "Prediction in Marketing Using the Support Vector Machine," Marketing Science, INFORMS, vol. 24(4), pages 595-615, January.
- Joo, Young-Hyuck & Kim, Yunsik & Yang, Suk-Joon, 2011. "Valuing customers for social network services," Journal of Business Research, Elsevier, vol. 64(11), pages 1239-1244.
- Bose, Indranil & Chen, Xi, 2009. "Quantitative models for direct marketing: A review from systems perspective," European Journal of Operational Research, Elsevier, vol. 195(1), pages 1-16, May.
- ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(1), pages 151-159, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Yen-Chun Chou & Howard Hao-Chun Chuang, 2018. "A predictive investigation of first-time customer retention in online reservation services," Service Business, Springer;Pan-Pacific Business Association, vol. 12(4), pages 685-699, December.
- Murtaza Nasir & Nichalin Summerfield & Ali Dag & Asil Oztekin, 2020. "A service analytic approach to studying patient no-shows," Service Business, Springer;Pan-Pacific Business Association, vol. 14(2), pages 287-313, June.
- Ki-Kwang Lee & Hong-Hee Lee & Su-Ji Cho & Gyung-Su Min, 2022. "The context-based review recommendation system in e-business platform," Service Business, Springer;Pan-Pacific Business Association, vol. 16(4), pages 991-1013, December.
- Vera L. Miguéis & Ana S. Camanho & José Borges, 2017. "Predicting direct marketing response in banking: comparison of class imbalance methods," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 831-849, December.
- Duncan Simester & Artem Timoshenko & Spyros I. Zoumpoulis, 2020. "Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges," Management Science, INFORMS, vol. 66(6), pages 2495-2522, June.
- Onur Şeref & Talayeh Razzaghi & Petros Xanthopoulos, 2017. "Weighted relaxed support vector machines," Annals of Operations Research, Springer, vol. 249(1), pages 235-271, February.
- Danijel Bratina & Armand Faganel, 2023. "Using Supervised Machine Learning Methods for RFM Segmentation: A Casino Direct Marketing Communication Case," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 35(1), pages 7-22.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Vera L. Miguéis & Ana S. Camanho & José Borges, 2017. "Predicting direct marketing response in banking: comparison of class imbalance methods," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 831-849, December.
- De Caigny, Arno & Coussement, Kristof & De Bock, Koen W., 2018. "A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees," European Journal of Operational Research, Elsevier, vol. 269(2), pages 760-772.
- Crone, Sven F. & Lessmann, Stefan & Stahlbock, Robert, 2006. "The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing," European Journal of Operational Research, Elsevier, vol. 173(3), pages 781-800, September.
- Bose, Indranil & Chen, Xi, 2009. "Quantitative models for direct marketing: A review from systems perspective," European Journal of Operational Research, Elsevier, vol. 195(1), pages 1-16, May.
- Ding‐Wen Tan & William Yeoh & Yee Ling Boo & Soung‐Yue Liew, 2013. "The Impact Of Feature Selection: A Data‐Mining Application In Direct Marketing," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(1), pages 23-38, January.
- Gubela, Robin M. & Lessmann, Stefan & Jaroszewicz, Szymon, 2020. "Response transformation and profit decomposition for revenue uplift modeling," European Journal of Operational Research, Elsevier, vol. 283(2), pages 647-661.
- Dolf Talman & Zaifu Yang, 2012.
"On a Parameterized System of Nonlinear Equations with Economic Applications,"
Journal of Optimization Theory and Applications, Springer, vol. 154(2), pages 644-671, August.
- Talman, A.J.J. & Yang, Z.F., 2012. "On a parameterized system of nonlinear equations with economic applications," Other publications TiSEM 8233343d-0b60-428d-a20b-6, Tilburg University, School of Economics and Management.
- Michele Lombardi & Naoki Yoshihara, 2020.
"Partially-honest Nash implementation: a full characterization,"
Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(3), pages 871-904, October.
- Lombardi, Michele & Yoshihara, Naoki, 2011. "Partially Honest Nash Implementation: A Full Characterization," MPRA Paper 48234, University Library of Munich, Germany, revised 11 Jul 2013.
- Lombardi, Michele & Yoshihara, Naoki, 2018. "Partially-Honest Nash Implementation: A Full Characterization," Discussion Paper Series 682, Institute of Economic Research, Hitotsubashi University.
- Michele Lombardi & Naoki Yoshihara, 2017. "Partially-honest Nash implementation: a full characterization," Working Papers SDES-2017-15, Kochi University of Technology, School of Economics and Management, revised Aug 2017.
- Michele Lombardi & Naoki Yoshihara, 2017. "Partially-honest Nash implementation : a full characterization," UMASS Amherst Economics Working Papers 2017-15, University of Massachusetts Amherst, Department of Economics.
- Michele Lombardi & Naoki Yoshihara, 2018. "Partially-honest Nash implementation: a full characterization," Working Papers SDES-2018-13, Kochi University of Technology, School of Economics and Management, revised Oct 2018.
- Lombardi, Michele & Yoshihara, Naoki, 2013. "Partially Honest Nash Implementation: A Full Characterization," Discussion Paper Series 590, Institute of Economic Research, Hitotsubashi University.
- Lombardi, Michele & Yoshihara, Naoki & 吉原, 直毅, 2013. "Partially Honest Nash Implementation:A Full Characterization," CCES Discussion Paper Series 49, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
- Lombardi, Michele & Yoshihara, Naoki, 2017. "Partially-honest Nash implementation: a full characterization," Discussion Paper Series 662, Institute of Economic Research, Hitotsubashi University.
- Tian, Zhaolu & Li, Zi-Cai & Huang, Hung-Tsai & Chen, C.S., 2017. "Analysis of the method of fundamental solutions for the modified Helmholtz equation," Applied Mathematics and Computation, Elsevier, vol. 305(C), pages 262-281.
- Zhiqiang Zheng & Balaji Padmanabhan & Steven O. Kimbrough, 2003. "On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining," INFORMS Journal on Computing, INFORMS, vol. 15(2), pages 148-170, May.
- Herings, P.J.J. & Talman, A.J.J. & Yang, Z.F., 1999.
"Variational Inequality Problems With a Continuum of Solutions : Existence and Computation,"
Other publications TiSEM
73e2f01b-ad4d-4447-95ba-a, Tilburg University, School of Economics and Management.
- Herings, P.J.J. & Talman, A.J.J. & Yang, Z.F., 1999. "Variational Inequality Problems With a Continuum of Solutions : Existence and Computation," Discussion Paper 1999-72, Tilburg University, Center for Economic Research.
- Herings, P.J.J. & Talman, A.J.J. & Yang, Z.F., 2001. "Variational inequality problems with a continuum of solutions : Existence and computation," Other publications TiSEM 50bc0af9-976f-4c1c-94e0-f, Tilburg University, School of Economics and Management.
- Dayanik, Savas & Karatzas, Ioannis, 2003. "On the optimal stopping problem for one-dimensional diffusions," Stochastic Processes and their Applications, Elsevier, vol. 107(2), pages 173-212, October.
- Carlos R. Handy & Daniel Vrinceanu & Carl B. Marth & Harold A. Brooks, 2015. "Pointwise Reconstruction of Wave Functions from Their Moments through Weighted Polynomial Expansions: An Alternative Global-Local Quantization Procedure," Mathematics, MDPI, vol. 3(4), pages 1-24, November.
- Allen C. Goodman & Miron Stano, 2000. "Hmos and Health Externalities: A Local Public Good Perspective," Public Finance Review, , vol. 28(3), pages 247-269, May.
- Bode, Sven & Michaelowa, Axel, 2003. "Avoiding perverse effects of baseline and investment additionality determination in the case of renewable energy projects," Energy Policy, Elsevier, vol. 31(6), pages 505-517, May.
- Ala, Guido & Fasshauer, Gregory E. & Francomano, Elisa & Ganci, Salvatore & McCourt, Michael J., 2017. "An augmented MFS approach for brain activity reconstruction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 141(C), pages 3-15.
- Tatamitani, Yoshikatsu, 2002. "Implementation by self-relevant mechanisms: applications," Mathematical Social Sciences, Elsevier, vol. 44(3), pages 253-276, December.
- Suzi Kerr, 2003.
"Efficient Contracts for Carbon Credits from Reforestation Projects,"
Working Papers
03_12, Motu Economic and Public Policy Research.
- Suzi Kerr, 2004. "Efficient Contracts For Carbon Credits From Reforestation Projects," Others 0401003, University Library of Munich, Germany.
- Li, Jiyong & Deng, Shuo, 2018. "Trigonometrically fitted multi-step RKN methods for second-order oscillatory initial value problems," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 740-753.
- Bettina Campedelli & Andrea Guerrina & Giulia Romano & Chiara Leardini, 2014. "La performance della rete ospedaliera pubblica della regione Veneto. L?impatto delle variabili ambientali e operative sull?efficienza," MECOSAN, FrancoAngeli Editore, vol. 2014(92), pages 119-142.
More about this item
Keywords
Class imbalance; Customer response model; RFM; Support vector machine; Random undersampling; Marketing data mining;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:svcbiz:v:7:y:2013:i:1:p:167-182. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.